Why are some websites researched more than others? A review of research into the global top twenty

The web is central to the work and social lives of a substantial fraction of the world’s population, but the role of popular websites may not always be subject to academic scrutiny. This is a concern if social scientists are unable to understand an aspect of users’ daily lives because one or more major websites have been ignored. To test whether popular websites may be ignored in academia, this article assesses the volume and citation impact of research mentioning any of twenty major websites. The results are consistent with the user geographic base affecting research interest and citation impact. In addition, site affordances that are useful for research also influence academic interest. Because of the latter factor, however, it is not possible to estimate the extent of academic knowledge about a site from the number of publications that mention it. Nevertheless, the virtual absence of international research about some globally important Chinese and Russian websites is a serious limitation for those seeking to understand reasons for their web success, the markets they serve or the users that spend time on them. The sites investigated were Google, YouTube, Facebook, Baidu, Wikipedia, QQ, Tmall, Taobao, Yahoo, Amazon, Twitter, Sohu, Live, VK, JD, Instagram, Sina, Weibo, Yandex, and 360

TrustNShare Partizipativ entwickeltes, Smart-contract basiertes Datentreuhandmodell mit skalierbarem Vertrauen und Inzentivierung

Überblick über die Ziele, Projektpartner (DLR, UKB, UKJ) und Aufgabenbereiche des Projekts "TrusNShare". Fokus liegt auf der Erläuterung des geplanten Treuhandmodells, der Partizipativen Entwicklung möglicher Anreize und der "Healthy Navigation App"

Using Social Media to Assess the Impact of Weather and Climate on Visitation to Outdoor Recreation Settings

When people post photos on social media, these photos often contain information on the location, time, and date the photo was taken; all of this information is stored as metadata and is often never seen or used by the individuals posting the photos. This information can be used by researchers however, to understand the total number of visitors to parks and protected areas, as well as specific places people visit within those parks and protected areas. The first study in this dissertation reviews all the ways social media has been used to understand visitation and visitors’ experiences in parks. Researchers can connect the photo locations from social media to other datasets to understand how different factors, such as the weather or climate, influence park visitation. Weather refers to the conditions, such as temperature or precipitation, at any given place and time; climate refers to the long-term weather averages at a location, often over a period of 30 years or more. The second paper explores how weather affects where visitors go within 110 U.S. National Parks. Daily temperature and precipitation influence visitors’ elevation and distance to roads, parking areas, buildings, and bodies of water. However, the effect of weather varies in parks with different climates and landscapes. Visitors in some parks may be more able to adapt to adverse weather conditions by visiting park areas with preferable weather. In the third study, I examine how the climate of federal and state-managed public lands impact visitation by season. Across the conterminous U.S., visitation was higher in places with warmer average temperatures in the fall, spring, and winter. However, visitation was higher in places with relatively cooler average temperatures in the summer. Climate has a larger effect on visitation to public lands in the summer and winter, and in the Western U.S. Collectively, these studies provide insight into how visitation to and within parks, protected areas, and public lands in the U.S. may change due to weather conditions and climate change

Computational socioeconomics

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status. In this review, we will make a brief manifesto about a new interdisciplinary research field named Computational Socioeconomics, followed by detailed introduction about data resources, computational tools, data-driven methods, theoretical models and novel applications at multiple resolutions, including the quantification of global economic inequality and complexity, the map of regional industrial structure and urban perception, the estimation of individual socioeconomic status and demographic, and the real-time monitoring of emergent events. This review, together with pioneering works we have highlighted, will draw increasing interdisciplinary attentions and induce a methodological shift in future socioeconomic studies

Employees on social media: A multi-spokespeople model of CSR communication

Increasing societal and stakeholder expectations, along with easy access to information through social media, means corporations are asked for more information. The traditional approach to CSR communication, with corporations controlling what and how much to share with stakeholders has been restructured by social media, with stakeholders taking control. As legitimacy on social media is created through the positive and negative judgements of stakeholders, corporations must plan how to meet stakeholder demands for information effectively and legitimately, and this includes choosing appropriate spokespeople. Corporations in India have now turned towards their employees as CSR spokespeople. By encouraging employee activity on social media, these corporations are attempting to meet stakeholder demands and generate legitimacy through spokespeople whom stakeholders perceive as equals. This article examines that strategy and discusses its viability of using employees as spokespeople for CSR communication and engagement with stakeholder

Smart Healthcare solutions in China and Europe, an international business perspective

The thesis is part of the Marie Curie Fellowship project addressing health related challenges with IoT solutions. The author tries to address the challenge for the implementation of telehealth solutions by finding out the demand of the telehealth solution in selected European economies and in China (chapter 1), analyzing the emerging business models for telehealth solution ecosystems in China (chapter 2), how to integrate telehealth solutions with institutional stakeholders (chapter 3) and why are elderly users willing to use telehealth solutions in China. Chapter 1 and chapter 2 form the theoretical background for empirical work in chapter 3 and chapter 4. The thesis addressed four research questions, namely “Which societal and social-economics unmet needs that Internet of Healthcare Things can help to resolve?”, “What are the business model innovation for tech companies in China for the smart health industry?”, “What are the facilitators and hurdles for implementing telehealth solutions”, “Are elderly users willing to use telehealth solutions in China?”. Both qualitative study and quantitative analysis has been made based on data collected by in depth interviews with stakeholders, focus group study work with urban and rural residents in China. The digital platform framework was used in chapter 2 as the theoretical framework where as the stakeholder power mapping framework was used in chapter 3. The discretion choice experiment was used in chapter 4 to design questionnaire study while ordered logit regression was used to analyze the data. Telehealth solutions have great potential to fill in the gap for lack of community healthcare and ensuring health continuity between home care setting, community healthcare and hospitals. There is strong demand for such solutions if they can prove the medical value in managing chronic disease by raising health awareness and lowering health risks by changing the patients’ lifestyle. Analyzing how to realize the value for preventive healthcare by proving the health-economic value of digital health solutions (telehealth solutions) is the focus of research. There remain hurdles to build trust for telehealth solutions and the use of AI in healthcare. Next step of research can also be extended to addressing such challenges by analyzing how to improve the transparency of algorithms by disclosing the data source, and how the algorithms were built. Further research can be done on data interoperability between the EHR systems and telehealth solutions. The medical value of telehealth solutions can improve if doctors could interpret data collected from telehealth solutions; furthermore, if doctors could make diagnosis and provide treatment, adjust healthcare management plans based on such data, telehealth solutions then can be included in insurance packages, making them more accessible

Modern Socio-Technical Perspectives on Privacy

This open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The book’s primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teacherscan assign (parts of) the book for a “professional issues” course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academicswho are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects

The business opportunities of implementing wearable based products in the health and life insurance industries

The ability to collect biometric data continuously was recently enabled by the development and massification of wearable technologies - computers that are incorporated into items of clothing and accessories which can be worn on the body - unlocking huge opportunities for health and life insurers. Although a great deal of research has been done regarding the technical aspects of these devices, very few works explore the business and managerial implications of implementing wearables into insurance products. Through the combination of secondary data and in-depth expert interviews, this work analyses the impact of wearables and wearable data in the insurance value chain, identifying the main opportunities and challenges to leverage such a technology. This research concludes that in spite of the current narrow use of wearable devices as engagement tools in insurance wellness programs designed to drive user loyalty, this technology has the potential to accelerate the underwriting process, support preventive care, expand the customer base, enable dynamic pricing and enhance the customer experience as part of a connected health ecosystem. Customer adoption, data privacy and legislation are some of the main obstacles for insurers to leverage this technology, on top of the necessary IT infrastructure and data management capabilities which insurers are acquiring mainly through partnerships with innovative players. By implementing wearables technologies, health and life insurers may benefit from reductions in operational costs, new revenue streams and ultimately gains in competitive advantage.A recolha contínua de dados biométricos foi recentemente possibilitada pelo desenvolvimento e massificação dos wearables – computadores incorporados na roupa e acessórios que podem ser vestidos – que representam uma grande oportunidade para as seguradoras de vida e saúde. Apesar de já existir bastante pesquisa sobre os aspetos técnicos destes dispositivos, o mesmo não se verifica ao nível do negócio e da gestão, na implementação de wearables na indústria seguradora. Através da combinação de dados secundários e entrevistas a experts da indústria, este trabalho analisa o impacto dos wearables na cadeia de valor das seguradoras, identificando as principais oportunidades e desafios da sua implementação. A pesquisa conclui que apesar da atual aplicação dos wearables ser limitada, visto que são utilizados como pontos de contacto com o consumidor em programas de bem-estar promovidos pelas seguradoras para reforçar a lealdade à marca, esta tecnologia tem o potencial para acelerar a subscrição de seguros, promover ações de cuidado preventivo de saúde, expandir a base de clientes, possibilitar a prática de preços dinâmicos e melhorar a experiência do consumidor integrados num ecossistema conectado de saúde. A adoção, a privacidade de dados e a legislação são alguns dos principais obstáculos aquando da implementação destes dispositivos, a par da infraestrutura de TI e capacidades de gestão de dados que as seguradoras têm adquirido maioritariamente via parcerias com novas empresas. A implementação dos wearables pode assim contribuir para a redução de custos operacionais, criação de novas fontes de receita e ganhos de vantagem competitiva para as seguradoras

Recent Advances in Social Data and Artificial Intelligence 2019

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace